What is the purpose of a training dataset?
To train the model on known data
To test the model's performance
To reduce data dimensionality
To visualize data points
What is the purpose of cross-validation?
To assess the model's performance on different data subsets
To increase the dataset size
To reduce data noise
To cluster similar items together
Which statement about machine learning is true?
It only works with numerical data
It always requires supervised learning
It can improve with experience
It cannot handle complex tasks
What is the purpose of regularization in machine learning?
To prevent overfitting by adding a penalty to the loss function
To increase the model's complexity
To reduce the size of the dataset
To cluster similar items together
What is the typical range for the temperature setting in LLMs?
0 to 10
0 to 1
0 to 100
-1 to 1
What does an epoch represent in machine learning?
One complete pass through the training dataset
A type of clustering technique
A neural network architecture
A method of data normalization
What is data drift in machine learning?
A data cleaning technique
Changes in data distribution over time
A type of regularization
A method for feature selection
What does LLM stand for in the context of AI?
Large Learning Machine
Large Language Model
Linear Language Mechanism
Logical Language Module
What is the purpose of grid search in machine learning?
To find the best hyperparameters for a model
To perform data visualization
To clean and preprocess data
To reduce dimensionality
Which of the following is an example of an unsupervised learning algorithm?
Linear Regression
Logistic Regression
K-Means Clustering
Random Forest
What does ROC curve measure?
The trade-off between true positive rate and false positive rate
The difference between precision and recall
The accuracy of the model
The speed of the model's predictions
What is a common use case for time series forecasting?
Predicting stock prices
Clustering customers
Classifying images
Reducing data dimensionality
Is deep learning a subset of machine learning?
Yes, deep learning is a subset of machine learning
No, machine learning is a subset of deep learning
They are completely unrelated fields
They are the same thing
What is the purpose of the SHAP (SHapley Additive exPlanations) values in machine learning?
To perform clustering
To explain individual predictions
To reduce dimensionality
To generate synthetic data
Which step in a typical machine learning process involves testing the solution on unseen data?
Data preprocessing
Feature selection
Model training
Model evaluation
What is the difference between a dense layer and a convolutional layer in neural networks?
Dense layers are only for images
Convolutional layers use shared weights
Dense layers are unsupervised
There is no difference
What is a grid search in machine learning?
A technique to find the best hyperparameters for a model
A clustering algorithm
A data preprocessing tool
A method to reduce data dimensionality
What is the primary goal of attention mechanisms in deep learning?
To reduce model attention
To focus on relevant parts of input
To classify attention types
To generate attention maps
What is the purpose of cross-validation in machine learning?
To increase the training data size
To evaluate model performance and generalization
To reduce the number of features
To speed up model training
What is an epoch in machine learning?
A single pass through the entire dataset
A type of clustering algorithm
A specific type of neural network
A method to preprocess data
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